Stats: Best books and where to stop.

PACCAR / Data
ztoro

Go to company page PACCAR Data

ztoro
Jul 25, 2020 1 Comment

Data science folks,
I don't get to use stats on a day to day basis. Consequently, feel like I am loosing/lost grip on it.
I am looking for recommendations to rekindle with stats and get my hands dirty.

P.S: I struggle with starting things off. Specially if it's just a lot of reading. I would be more than happy to grab a pen & paper and solve problems. R or Python is just fine too.

Final goal of this exercise would be start using stats more often in my day to day job. Alternatively, also be interview ready 'if' there are lay offs due to covid.

Something I recently pen and papered:
Had some results from a Monte Carlo simulation ran(in python) to estimate number of covid cases. Split the data by country, used chi squared test of homogeneity (on paper) to figure out if there statistically significant variance in # of infected, recovered and healthy people.

#data #datascience #stats

comments

Want to comment? LOG IN or SIGN UP
TOP 1 Comment
  • S&P Global
    πŸ”»subsonicπŸ”Š

    Go to company page S&P Global

    PRE
    S&P Global Market Intelligence
    πŸ”»subsonicπŸ”Š
    There are open-source stats textbook (+ accompanying videos, labs, etc.) here. I'm doing the OpenIntro Statistics one because this is my first time, but you can try Introductory Statistics with Randomization and Simulation to be more computation-focused

    https://www.openintro.org/book/isrs/

    You can even choose your pick of Python or R for most of the labs!
    Jul 30, 2020 0